Measuring the Confluence of iPSCs using an Automated Imaging System.

Author(s):  
Valentina Magliocca ◽  
Maria Vinci ◽  
Tiziana Persichini ◽  
Franco Locatelli ◽  
Marco Tartaglia ◽  
...  
2008 ◽  
Vol 15 (4) ◽  
pp. 199-203 ◽  
Author(s):  
Kin-Chong Lau ◽  
Ching-Wan Lam

Objectives To improve the traditional fresh blood film method to a high-throughput analysis of the presence of circulating fluorescent red cells (fluorocytes) in erythropoietic protoporphyria (EPP) using an automated imaging system. Methods Based on the autofluorescence of protoporphyrin, we used an automatic image acquisition platform for examining fluorocytes in peripheral blood with minimal sample preparation. The image acquisition is easy-to-use under automated operations of excitation, focusing, detection and data analysis. Quality image and semi-quantitative fluorescence measurement of fluorocytes can be generated in a single step. For high-throughput analysis, the platform can image more than 200 96-well micro-plates, i.e. 19200 samples, in approximately 10 hours. Importantly, the reagent cost of analysis is negligible. Results In this pilot study, three EPP patients were diagnosed and 4000 normal individuals were screened for EPP by this method. Our results showed that the method can distinguish the overt case and asymptomatic carriers. It gives reliable evidence for rapid EPP screening. Conclusion This automated imaging system provides multiple advantages that improve the traditional fresh blood film method as a more effective diagnostic tool and facilitates population screening for EPP. As fluorocytes are present in the umbilical cord blood of EPP patients, this high-throughput method can be potentially used for newborn screening of EPP.


2015 ◽  
Vol 78 (7) ◽  
pp. 587-598 ◽  
Author(s):  
Guy Garty ◽  
Alan W. Bigelow ◽  
Mikhail Repin ◽  
Helen C. Turner ◽  
Dakai Bian ◽  
...  

2014 ◽  
Vol 33 (3) ◽  
pp. 225-234 ◽  
Author(s):  
Elza M. Fukazawa ◽  
Glauco Baiocchi ◽  
Fernando A. Soares ◽  
Lillian Y. Kumagai ◽  
Carlos C. Faloppa ◽  
...  

2007 ◽  
Vol 226 (3) ◽  
pp. 244-255 ◽  
Author(s):  
G. M. SHARANGPANI ◽  
A. S. JOSHI ◽  
K. PORTER ◽  
A. S. DESHPANDE ◽  
S. KEYHANI ◽  
...  

2021 ◽  
Vol 6 ◽  
pp. 63
Author(s):  
Matthew Wincott ◽  
Andrew Jefferson ◽  
Ian M. Dobbie ◽  
Martin J. Booth ◽  
Ilan Davis ◽  
...  

Commercial fluorescence microscope stands and fully automated XYZt fluorescence imaging systems are generally beyond the limited budgets available for teaching and outreach. We have addressed this problem by developing “Microscopi”, an accessible, affordable, DIY automated imaging system that is built from 3D printed and commodity off-the-shelf hardware, including electro-mechanical, computer and optical components. Our design features automated sample navigation and image capture with a simple web-based graphical user interface, accessible with a tablet or other mobile device. The light path can easily be switched between different imaging modalities. The open source Python-based control software allows the hardware to be driven as an integrated imaging system. Furthermore, the microscope is fully customisable, which also enhances its value as a learning tool. Here, we describe the basic design and demonstrate imaging performance for a range of easily sourced specimens.


Author(s):  
Daniel Brisach ◽  
Justin Alms ◽  
James Glancey ◽  
Nate Cloud

Currently, blade manufacturers employ in-house histology testing to evaluate the performance of their blades. The following performance metrics are evaluated for a group of production blades: sample compression, cut-feel, and number of knife lines left on samples. In the research presented herein, an evaluation of the relationships between high quality samples and microtome knife configuration variables is explored through quantifying the cutting force and inspecting samples for knife induced defects. Several types of measurements correlating to the cutting force were made. Sound, vibration, and cutting force were tested for their adequacy in distinguishing different knife configurations. The most robust measurement was then focused on to derive relationships between blade types and microtome setup. An automated imaging system was explored for measurement of sample quality. The imaging system can improve the reliability and productivity of the measurement of knife quality metrics, for product-process quality control. The imaging system achieves this by detecting knife lines and performing simple measurements to quantify the degree of compression of the samples. This study aims to advance the science of histology and give insight to blade manufacturers through interfacing a microtome with a PC based user interface.


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